1.新疆工程学院 能源工程学院,乌鲁木齐 830023
2.华南理工大学 机械与汽车工程学院,广州 510641
3.北京科技大学 能源与环境工程学院,北京 100083
王营超(1991),男,讲师,博士生,从事能源高效利用、传热传质、储能技术等方面的研究,wyc@xjie.edu.cn;
刘亚锁(1994),男,讲师,硕士,从事储能技术、风能利用等方面的研究,lysusst@163.com;
高钾(1985),男,副教授,硕士,从事燃烧及热辐射分析、智能发电等方面的研究,gaojiawenqiang@163.com;
蒋甲丁(1982),男,教授,博士,从事能源与动力工程、智能控制及电解制氢技术等方面的研究,jjd917@163.com;
尹少武(1979),男,教授,博士,从事储能材料及其应用、烟气净化与余热回收、超细颗粒制备与表征、谷物/中药材干燥等方面的研究,yinsw@ustb.edu.cn;
樊小朝(1979),男,教授,博士,从事新能源发电、储能技术及综合能源系统等方面的研究,fxc0102@126.com。
收稿:2025-09-10,
修回:2025-11-10,
网络首发:2026-04-17,
纸质出版:2026-06-25
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王营超,刘亚锁,高钾等.面向西北地区枸杞干燥的太阳能-空气源热泵双源系统优化研究[J].综合智慧能源,2026,48(06):57-67.
WANG Yingchao,LIU Yasuo,GAO Jia,et al.Optimization of solar-assisted air source heat pump dual-source system for wolfberry drying in Northwest China[J].BLASTING,2026,48(06):57-67.
王营超,刘亚锁,高钾等.面向西北地区枸杞干燥的太阳能-空气源热泵双源系统优化研究[J].综合智慧能源,2026,48(06):57-67. DOI: 10.3969/j.issn.2097-0706.2026.06.005.
WANG Yingchao,LIU Yasuo,GAO Jia,et al.Optimization of solar-assisted air source heat pump dual-source system for wolfberry drying in Northwest China[J].BLASTING,2026,48(06):57-67. DOI: 10.3969/j.issn.2097-0706.2026.06.005.
针对西北地区农副产品干燥过程中能耗高、碳排放量大以及传统太阳能干燥技术受天气影响大、稳定性差等问题,构建了一种高效稳定的多能互补干燥系统。该系统旨在寻求一种适应西北地区高辐照度的清洁干燥技术方案以实现枸杞等高附加值农产品的绿色低碳加工。选取新疆精河县枸杞干燥为具体应用场景,设计并搭建了太阳能-空气源热泵双热源协同干燥系统。基于TRNSYS平台建立了系统的动态仿真模型,并结合精河县典型气象年数据对系统运行特性进行分析,提出了基于光照阈值的双模式运行策略:即晴天模式下由太阳能集热器独立供热,阴天或辐照不足时启动空气源热泵进行辅助加热。以系统费用年值最小化为优化目标,利用Genopt优化算法,对集热器面积、热泵额定制热量及集热器倾角等关键参数进行多目标协同优化。仿真与优化结果表明,系统在最佳参数组合下表现出优异的性能。与优化前相比,系统费用年值降低了9.0%,初投资降低了11.0%,运行能效比提升至3.4。此外,该系统将枸杞干燥周期从传统方式的18~22 h缩短至12 h,显著提升了干燥效率。环境效益方面,与传统燃煤干燥相比,该系统实现了81.3%的CO
2
减排量。提出的“光热优先-热泵互补”动态协同机制及优化后的系统参数,有效克服了太阳能的间歇性缺陷,降低了运行成本与碳排放。该技术方案为西北地区农产品干燥装备的绿色升级提供了可靠的理论依据和具有实践推广价值的技术路径。
To address the high energy consumption,heavy carbon emissions, and the instability and weather dependency of traditional solar drying technologies in Northwest China, an efficient and stable multi-energy complementary drying system has been developed. The system aimed to provide a clean dryin
g technology suitable for regions in Northwest China with abundant solar resources. Taking wolfberry drying in Jinghe County,Xinjiang Uygur Autonomous Region,as the application scenario,a solar-assisted air source heat pump dual-source drying system was proposed and constructed. A dynamic simulation model was established on the TRNSYS platform. Combined with local meteorological data,the operational characteristics of the system under typical operating conditions were analyzed. A dual-mode operational strategy based on working-condition switching was proposed:solar energy provided heating independently on sunny days,while the heat pump supplied auxiliary heating on cloudy days or under insufficient solar irradiation conditions. Taking the system's annual cost as the optimization objective,key parameters including collector area,heat pump heating capacity,and collector tilt angle were optimized using the Genopt optimization algorithm. The system exhibited excellent performance under optimal parameter combinations. The results showed that after optimization,the system's annual cost decreased by 9%,the operational energy efficiency ratio improved to 3.4,and the initial investment was reduced by 11%. Additionally, the drying period for wolfberry was shortened from 18-22 h with traditional methods to 12 h, significantly enhancing drying efficiency. In terms of environmental benefits, the system achieved an 81.3% reduction in CO
2
emissions compared to the conventional drying method supported by coal. The dynamic synergy mechanism and optimized system parameters should follow the principle of "prioritizing solar thermal energy and taking heat pumps as supplementary heat sources". This strategy effectively addressed the intermittency of solar energy, reduced the operating costs, and lowered carbon emissions. The findings provide a reliable theoretical basis and a practically valuable technical scheme for the green upgrading of agricultural product drying equipment in the high irradiation regions of Northwest C
hina.
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